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Manuscript received 13 September 2025; revised 12 January 2026, and 26 February 2026; accepted 14 March 2026. This paper was supported in part by the National Natural Science Foundation of China under No. 62271068. (corresponding author: Tiejun Lv.)X. He, T. Lv, and X. Yu are with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China. (e-mail: {xiaoyuhhh, lvtiejun, yusy}@bupt.edu.cn). W. Li is with the Center for Target Cognition Information Processing Science and Technology, and the Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, both at Beijing Information Science and Technology University, Beijing, China (e-mail: liweicai@bupt.edu.cn)
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Squeezing federated learning through bandwidth-constrained networks? This routing and pruning method boosts accuracy by 12% while slashing latency by 28%.
